title: Channel analysis of the volume holographic correlator for scene matching.
abstract: A channel model of the volume holographic correlator (VHC) is proposed and demonstrated to improve the accuracy in the scene matching application with the multi-sample parallel estimation (MPE) algorithm. A quantity related to the space-bandwidth product is used to describe the recognition ability in the scene matching system by MPE. A curve is given to optimize the number of samples with the required recognition accuracy. The theoretical simulation and the experimental results show the validity of the channel model. The proposed model provides essential theoretical predictions and implementation guidelines for using the multi-sample parallel estimation method to achieve the highest accuracy.
authors.affiliation: State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China.
authors.forename: Shunli
authors.initials: S
authors.lastname: Wang
authors.forename: Liangcai
authors.initials: L
authors.lastname: Cao
authors.forename: Huarong
authors.initials: H
authors.lastname: Gu
authors.forename: Qingsheng
authors.initials: Q
authors.lastname: He
authors.forename: Claire
authors.initials: C
authors.lastname: Gu
authors.forename: Guofan
authors.initials: G
authors.lastname: Jin
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006696:Holography / Q000379:methods*; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008962:Models, Theoretical; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique